Excessive MySQL CPU usage is usually caused by slow queries, improper configuration, or excessive concurrent access. First, query that has long execution time and does not use indexes should be checked and optimized, and log location problems should be used through SHOW PROCESSLIST and slow query; secondly, analyze the EXPLAIN results to avoid temporary tables and filesort; then reasonably configure parameters such as innodb\_buffer\_pool\_size, max\_connections; finally control concurrent access through connection pooling, limiting the number of connections and execution time.
High CPU usage is a common problem on MySQL servers, especially when there are many concurrent requests or inefficient queries. If you find that MySQL takes up too much CPU resources, the first thing you need to do is not restart the service immediately, but to troubleshoot the root cause. Below are some situations you may encounter and corresponding handling suggestions.

Check for running slow query
The most common cause of CPU overheating in MySQL is slow queries, especially statements that do not use the index correctly. You can see which queries are currently executing in the following ways:

SHOW PROCESSLIST;
Focus on State
and Time
fields. If you see many queries in "Sending data" or "Copying to tmp table" state and last for a long time, it means that these queries may not be efficient.
Solution:

- Turn on slow query log:
SET GLOBAL slow_query_log = 'ON'; SET GLOBAL long_query_time = 1;
- Analyze slow query log files and find time-consuming queries.
- Optimize frequently executed slow queries, such as adding appropriate indexes, reducing the number of JOIN tables, avoiding SELECT *, etc.
Avoid abuse of temporary tables and filesorts
When queries cannot be sorted or grouped using indexes, MySQL uses temporary tables or filesorts, which significantly increases CPU usage.
You can use EXPLAIN
to analyze whether a query uses temporary tables or filesort:
EXPLAIN SELECT ...;
If Using filesort
or Using temporary
appears in Extra
column, it means that this query needs to be optimized.
Optimization suggestions:
- Make sure that ORDER BY, GROUP BY, and DISTINCT have appropriate indexes on the fields used.
- Don't overuse UNION or subqueries, try rewriting to JOIN.
- If the data volume is large, consider paginating the result set or limiting the number of rows returned.
Configure MySQL parameters rationally
Sometimes the CPU is high not because there is a problem with the query itself, but because the MySQL configuration is unreasonable, resulting in invalid resource occupation.
for example:
-
innodb_buffer_pool_size
setting is too small, which will cause frequent disk IO. - The
max_connections
setting is too high, which may lead to intense competition in connections. - Query Cache will actually drag down performance in high concurrent write scenarios.
Recommended practices:
- Use tools such as
mysqltuner.pl
to provide configuration suggestions. - Turn off unnecessary features, such as turning off query cache when not needed.
- Adjust
innodb_buffer_pool_size
according to server memory, usually set to 50%-80% of physical memory.
Monitor and limit concurrent access
When there are a large number of concurrent connections that perform complex queries at the same time, the CPU is easily overwhelmed. This situation is often found during peak periods or when certain timing tasks trigger large amounts of data processing.
You can observe system load trends through monitoring tools (such as top
, htop
, iostat
, vmstat
) and combine MySQL state variables:
SHOW STATUS LIKE 'Threads_running';
If Threads_running
often exceeds 20~30, it means that the concurrency pressure is high.
Mitigation measures:
- Use connection pools to avoid frequent creation and destruction of short life cycle connections.
- Set
max_connections
andmax_user_connections
limits. - Set execution time limits for critical queries to avoid long runs.
In general, excessive usage of MySQL CPU is often caused by slow queries, improper configuration, or poor concurrency control. Start with querying, then look at the configuration, and finally control the access frequency, which can basically locate and solve the problem.
The above is the detailed content of Troubleshooting high CPU load on a MySQL server. For more information, please follow other related articles on the PHP Chinese website!

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